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Master’s degree in data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field (MBA Preferred.
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Minimum Experience: A minimum of ten (10) years experience with various BI and other analytics platforms with strong preference for EPIC EMR, SQL, ETL tools (SSIS, Informatica, Data Stage, Talend), Analytics tools (PowerBI, Qlik, Tableau), and project management.
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PhD in data science, computer science, management information systems, mechanical engineering, electrical engineering, power systems engineering, or related field. Master’s degree in electrical engineering, mechanical engineering, power systems engineering, data science, statistics, computer science, management information systems, or related field.
$102,285 - $173,884 a yearFull-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The Corporate Planning & Management (CPM) Division unifies Finance & Planning, Spend Management, Operational Risk and Resilience, and CPM Engineering teams to deliver business planning and analytics, expense management, third party risk management, and governance strategies across the firm.
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Bachelor’s degree in computer science, data analytics, mathematics, statistics, data science, or related field with applicable data engineering & architecture work experience.
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We are looking for a Principal Data Analytics Engineer with experience in data modeling to join the Data Engineering team at CarGurus as we scale out our data modeling framework in dbt.
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Support the development of the strategic vision for data analytics, with focus on data engineering. Key data sources are eSystems used within the Quality Management System such as Trackwise, onePLM, SLMS, Quickbase and QARAD. Primary tools used by the team include Azure Data Factory, Databricks, Azure Dev Ops and Power Platform.
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Key subject areas within CDAO include Analytics and Data Science, Data Architecture, Data Platforms, Data Engineering Core Data Management, and Data Governance.
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Experienced/advanced in at least one programming language central to Data Engineering (e.g. SQL/Python/R/Spark) or skilled in multiple languages. Self-managed execution of end-to-end data engineering projects from requirements gathering and documentation to ETL/ELT build and deployment and pipeline optimization.
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Proven record of managing end-to-end data engineering projects: from problem and requirements definition to architecture validation and deployment. Mentor and coach data engineering colleagues in developing their skills in the same.
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Syndicated Data, IRI, Nielsen, Circana, Numerator, Data Management, Python, R, SQL, Tableau, PowerBI, Power BI, Strategy, Categories, Analytics, Insights, Statistics, Data Analytics, Data Analysis, Advanced Analytics, Consultant, Individual Contributor, CPG, Consumer Product Goods, Consumer Products, FMCG, Marketing Analyst.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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3+ years of experience with data visualization, data management, data governance, data strategy, data policy, or data engineering. Experience with Microsoft Power Query, Databricks, or SQL for data engineering.
$54,000 - $123,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Understanding of key aspects of Data and Analytics such as Data Engineering, Analytics and Visualization, DataOps, Master Data Management, and Data Governance.
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Finance, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Data Processing/Analytics/Science, Mathematics, Accounting.
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Offering expert guidance from concept-through-commercialization, including product design and engineering, preclinical and clinical development, data management, market access, regulatory affairs and quality assurance, Veranex enables accelerated speed to market, controlled development costs, development risk mitigation, and accelerated market viability assessment.
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data management engineering jobs Title: analytics in Holdrege, Nebraska
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